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High-Performance Computing DevOps Architect

Applied Materials -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Benefits

Work from home

Qualifications

Image processing
Cloud infrastructure
System administration
Operating systems
Computer Science
Software troubleshooting
Salt
Kubernetes
Ansible
Software deployment
Bash (Unix shell)
OpenStack
Docker
Bachelor's degree
Virtualization
Scripting
Computer networking
Linux
Chef
Communication skills
Python

Full job description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:

Bangalore,IND, Chennai,IND

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

Our Team

Our team is developing a high-performance computing solution for low -latency and high throughput image processing and deep-learning workload s that will enable our Chip Man ufacturing process control equipment to offer differentiated value to our customers.

Your Opportunity

As an HPC Architect , you will get the opportunity to architect high-performance computing solutions from scratch and design/ optimize all aspects (Compute , Memory, Network ing , Storage) for better cost of Ownership.

Roles and Responsibility

As an architect , you will be responsible for design ing HPC infrastructure solutions, including compute , networking, storage, and workload management components .

You will work closely with cross-functional teams, including Hardware, S oftware, product management , and business stakeholders, to understand compute workload and translate them into Platform architecture and designs that meet business needs .

You will c reate and maintain detailed system architecture diagrams and specifications.

You will e valuate and select appropriate hardware and software components for HPC environments

You will Install, configure, and maintain HPC systems, including hardware, software, and networking components

You will d evelop and implement automation scripts for system management and deployment.

You will be a s ubject Matter expert to unblock depe n dent teams in the HPC domain.

You will be expected to develop system benchmarks , profile systems to understand bottleneck s, optimize workflows and processes to improve cost of ownership.

Identify and mitigate technical risks and issues throughout the HPC development life cycle .

Ensure that Compute Cluster is resilient, reliable, and maintainable.

You will be expected to stay abreast of the latest HPC technologies, including Hardwa re, Software and Networking Solutions

Your primary focus will be to understand the compute workload and design HPC cluster with right combination of Nodes, CPU/GPU, Memory, Interconnects and storage to have optimum performance at minimum cost of Ownership.

Our Ideal Candidate

Someone who has the drive and passion to learn quickly , has the ability to multi- task and switch contexts based on business needs .

Qualifications

In-depth experience with Linux System administration and Hardware/Software Configuration .

Strong knowledge of HPC technologies including cluster computing, high speed interconnects (InfiniBand, RoCE), parallel filesystems ( Lus tre, GPF S, BeeGFS etc )

Experience in creating , maintaining Operating System images with different installation and boot schemes

Extremely good with automation tools like Ansible, Chef, Salt-Stack and Scripting languages (Python and Bash)

Experience in C reating , maintaining Storage Solution s with different RAID configuration .

A bility to design storage solution for different IOPS, Access patterns ( Random vs Sequential RW ) and tun e storage and filesystems for better performance.

Good of knowledge Networking concepts including IP addressing, routing, protocols and Switch configuration for RDMA, VLAN configuration, network bonding etc.

Good Knowledge Virtualization, Hardware and Software Hypervisors

Good kno wledge of containerization technologies like docker, singularity .

Experience in Software Defined Networking and Storage.

Experience in setting-up remote management protocols like IPMI, Red fish etc.

Experience in setting-up and using monitoring systems like Prometheus, Grafana .

Experience System profiling and custom tuning for target workload for higher performance and low cost of ownership

Very good written and verbal communication skills.

Very good in Technical documentation meant to serve as manuals for non-experts in the f ield.

Additional Qualifications:

Experience in HPC Cluster management and Work-load orchestration software ( e.g. SLURM , Torque, LSF)

Experience in Setting-up Deep-learning training/ inference solutions .

Experience in Private cloud infrastructure like Kubernetes, OpenStack, CloudStack etc.

Experience in Distributed High Performance Computing and Parallel programming frameworks

Good knowledge of Low-latency and high-throughput data transfer technologies (RDMA on RoCE, InfiniBand)

Education :

Bachelor's Degree or higher in Computer science or related Disciplines.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Relocation Eligible:

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Apply Now

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